import csv
from matplotlib import pyplot as plt
from datetime import  datetime

from matplotlib.pyplot import title
from pyparsing import alphas

filename = "death_valley_2014.csv"
with open(filename) as f:
    reader = csv.reader(f)
    header_row = next(reader)

    # for index, column_header in enumerate(header_row):
    #     print(index, column_header)
    dates,highs,lows = [],[],[]
    for row in reader:
        try:
            current_date = datetime.strptime(row[0], "%Y-%m-%d")
            high = int(row[1])
            low = int(row[3])
        except ValueError:
            print(current_date, 'missing data')
        else:
            dates.append(current_date)
            highs.append(high)
            lows.append(low)
    print(highs)
# 根据数据绘制扇形图
fig = plt.figure(dpi=128, figsize=(10, 6))
plt.plot(dates,highs, c='red',alpha=0.5)
plt.plot(dates,lows, c='blue',alpha=0.5)
#设置图形格式
title = "Daily high and low temperatures -2014\nDeath Valley,CA"
plt.title(title, fontsize=20)
# plt.title("Daily high and low temperatures -2014", fontsize=24)
plt.xlabel('', fontsize=16)
fig.autofmt_xdate()
plt.ylabel("Temperature (F)", fontsize=16)
plt.tick_params(axis='both', which='major', labelsize=16)
plt.fill_between(dates,highs,lows, facecolor='blue', alpha=0.1)

plt.show()